Senior ML Ops/Devops - Hybrid (She/He/They) at Capco

CAPCO POLAND *We are looking for Poland based candidate. Hybrid work. Warsaw is preferred. At Capco Poland, we’re not just another consultancy - we’re the spark behind digital transformation in the financial world. As a global leader in technology and management consulting, we thrive on helping clients tackle the toughest challenges across banking, payments, capital markets, wealth, and asset management. Our secret? A culture that’s fast, flexible, and fiercely entrepreneurial. We move quickly, think creatively, and always put our people first. We’re passionate about growth - both for our clients and ourselves - and that means attracting the very best talent to join us on this exciting journey. We’re proud to be: • Trailblazers in banking, payments, capital markets, wealth, and asset management • Champions of an agile, nimble, and innovative work environment • Dedicated to building a team of top-notch professionals who share our drive and vision THINGS YOU WILL DO Platform Engineering for ML • Design, build, and improve MLOps platform components that support the full model lifecycle (development à validation à deployment à monitoring). • Create reusable templates and standardized pipelines to reduce time-to-production and improve consistency across teams. Model deployment & release engineering • Implement robust deployment patterns for credit risk models (primarily batch; other patterns as required). • Build & maintain CI/CD pipelines using Jenkins and GitHub, with appropriate quality gates and traceability. • Automate environment configuration and repeatability using Ansible. Monitoring, observability & operational readiness • Implement model and pipeline monitoring covering operational health, data quality signals, and model performance/drift indicators. • Establish dashboards, alerting, and runbooks; partner with stakeholders to ensure alerts are actionable and aligned to business impact. • Drive continuous improvement through post-release reviews and reliability enhancements (no on-call requirement). Collaboration & stakeholder management • Work closely with credit risk modellers to productionise models built with tools such as TensorFlow, MLFlow, and similar. • Translate modelling needs into scalable engineering solutions, balancing pace with control expectations. • Mentor junior team members (nice-to-have) and contribute to shared engineering standards and documentation. SKILLS & EXPERIENCES YOU NEED TO GET THE JOB DONE • 5+ years’ experience across MLOps/DevOps/Platform Engineering, with a track record of delivering production-grade ML or data solutions. • Strong experience building CI/CD and automation using Jenkins and GitHub. • Strong experience with Airflow (Bash), Bash itself, and Groovy for pipeline automation. • Hands-on configuration automation using Ansible. • Strong coding/scripting capability in Python (including PySpark), plus working knowledge of Spark. • Experience with ML tooling such as MLFlow, TensorFlow, and similar, including model packaging and deployment considerations. • Proven ability to implement observability (metrics/logs/dashboards/alerting), with tooling flexibility (e.g., Grafana, Splunk, or similar). • Comfortable working in hybrid environments; experience with Hadoop and an ability to integrate with cloud services (preference for GCP). Nice to have: • Exposure to GCP services, especially Vertex AI and BigQuery. • Experience with secrets management (tooling flexible). • Familiarity with Model Risk Management, SDLC controls, and data lineage concepts in regulated environments. • Prior experience mentoring junior engineers and helping teams adopt standard patterns. ONLINE RECRUITMENT PROCESS STEPS • Screening call with the Recruiter • Capco Hiring Manager Interview • Client’s interview • Feedback/Offer We offer a flexible collaboration model based on a B2B contract, with the opportunity to work on diverse projects.